Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "242"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 242 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 34 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 34 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 242, Node N19:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2460017 RF_ok 100.00% 0.00% 0.00% 0.00% - - 21.434145 0.518897 -0.354613 0.981559 1.700943 0.656464 -1.087302 0.322767 0.4087 0.5534 0.3538 nan nan
2460016 RF_ok 100.00% 0.00% 0.00% 0.00% - - 20.917539 1.156334 -0.077210 1.425097 1.355563 0.879535 -1.491353 -0.554712 0.4187 0.5574 0.3535 nan nan
2460015 RF_ok 100.00% 0.00% 0.00% 0.00% - - 23.439705 0.694843 -0.394169 1.038163 1.518939 0.669252 -0.462805 -0.255349 0.4295 0.5676 0.3516 nan nan
2460014 RF_ok 100.00% 0.00% 0.00% 0.00% - - 27.176440 0.573913 -0.420849 0.807837 2.099195 -0.083137 -0.470959 0.986585 0.3864 0.5518 0.3637 nan nan
2460013 RF_ok 100.00% 0.00% 0.00% 0.00% - - 23.001228 0.587906 -0.366062 1.149454 1.457290 0.759424 -0.878736 -0.519531 0.4223 0.5682 0.3601 nan nan
2460012 RF_ok 100.00% 0.00% 0.00% 0.00% - - 21.943924 0.519570 -0.499116 0.964577 1.591744 0.895135 -0.501438 -0.300317 0.4274 0.5710 0.3547 nan nan
2460011 RF_ok 100.00% 0.00% 0.00% 0.00% - - 23.432230 0.783188 -0.507970 1.433489 3.564755 2.923098 -0.740613 -0.509184 0.4395 0.5782 0.3633 nan nan
2460010 RF_ok 100.00% 0.00% 0.00% 0.00% - - 26.390229 0.864543 -0.010475 1.332659 2.971012 0.628283 -0.788434 -0.391097 0.4476 0.5945 0.3704 nan nan
2460009 RF_ok 100.00% 0.00% 0.00% 0.00% - - 21.799420 1.233455 0.232615 1.559759 2.620658 1.932482 -0.976834 -0.899101 0.4532 0.5948 0.3725 nan nan
2460008 RF_ok 100.00% 0.00% 0.00% 0.00% - - 26.180313 1.243026 0.308387 1.855514 2.476532 1.578935 0.441188 0.860965 0.4944 0.6277 0.3380 nan nan
2460007 RF_ok 100.00% 0.00% 0.00% 0.00% - - 22.466329 0.259340 -0.356817 0.918641 1.415566 0.620055 -1.060617 -0.265929 0.4575 0.6013 0.3592 nan nan
2459999 RF_ok 0.00% 0.00% 0.00% 0.00% - - nan nan nan nan nan nan nan nan 0.4681 0.6219 0.3321 nan nan
2459998 RF_ok 100.00% 0.00% 0.00% 0.00% - - 20.646187 0.423949 -0.227385 0.985028 1.574666 0.830729 -1.211406 -0.051524 0.4454 0.6043 0.3837 nan nan
2459997 RF_ok 100.00% 0.00% 0.00% 0.00% - - 20.529523 1.032781 0.397181 1.466185 2.611831 1.615181 -1.282062 -1.163361 0.4539 0.6137 0.3878 nan nan
2459996 RF_ok 100.00% 0.00% 0.00% 0.00% - - 22.747140 0.753150 -0.238064 1.121900 2.150279 0.879043 0.092358 -0.155520 0.4672 0.6228 0.3945 nan nan
2459995 RF_ok 100.00% 0.00% 0.00% 0.00% - - 24.607166 0.395887 -0.216592 1.141894 2.335318 1.347076 -0.669576 -0.544292 0.4660 0.6196 0.3854 nan nan
2459994 RF_ok 100.00% 0.00% 0.00% 0.00% - - 19.616193 0.237606 0.091797 1.011892 4.844461 1.100857 12.647280 -0.386418 0.4951 0.6139 0.3855 nan nan
2459993 RF_ok 100.00% 0.00% 0.00% 0.00% - - 21.118548 1.851494 1.021774 1.671781 4.275021 1.814520 3.164564 -0.246041 0.4671 0.6071 0.4029 nan nan
2459991 RF_ok 100.00% 99.95% 99.89% 0.00% - - nan nan inf inf nan nan nan nan 0.3772 0.3415 0.2427 nan nan
2459990 RF_ok 100.00% 0.00% 0.00% 0.00% - - 23.372127 1.213299 0.484662 1.805536 2.589354 1.921944 -1.403997 -0.609386 0.4431 0.6061 0.3887 nan nan
2459989 RF_ok 100.00% 0.00% 0.00% 0.00% - - 17.368475 0.454986 0.694770 1.211627 2.417538 0.474771 -0.915439 -0.265434 0.5105 0.6111 0.3961 nan nan
2459988 RF_ok 100.00% 0.00% 0.00% 0.00% - - 22.156996 1.619309 0.895368 1.890300 4.599608 2.213428 3.317864 -0.218517 0.4859 0.6102 0.3856 nan nan
2459987 RF_ok 100.00% 0.00% 0.00% 0.00% - - 22.368433 0.772192 0.383166 1.423683 1.803183 1.149411 -1.311912 -0.135201 0.4524 0.6111 0.3802 nan nan
2459986 RF_ok 100.00% 0.00% 0.00% 0.00% - - 29.196751 0.522043 -0.074174 1.322161 2.823097 1.496255 0.729708 0.977175 0.4816 0.6386 0.3425 nan nan
2459985 RF_ok 100.00% 0.00% 0.00% 0.00% - - 18.423803 0.506891 0.253598 0.981403 2.624849 0.547721 4.515534 -0.319019 0.5108 0.6177 0.3908 nan nan
2459984 RF_ok 100.00% 0.00% 0.00% 0.00% - - 23.951829 0.105990 -0.135022 0.997401 3.087513 0.284456 -0.736498 -0.829674 0.4796 0.6334 0.3645 nan nan
2459983 RF_ok 100.00% 0.00% 0.00% 0.00% - - 24.400782 0.862677 0.375485 1.688789 3.191917 1.929649 -0.201202 0.236528 0.4753 0.6402 0.3407 nan nan
2459982 RF_ok 100.00% 0.00% 0.00% 0.00% - - 15.978780 -0.553180 -0.116567 0.934239 0.246048 -0.296970 -0.105268 -0.169942 0.5656 0.6794 0.2761 nan nan
2459981 RF_ok 100.00% 0.00% 0.00% 0.00% - - 23.156257 0.847382 0.560897 2.067266 3.595873 2.333881 -0.135869 -0.469175 0.4530 0.6185 0.3813 nan nan
2459980 RF_ok 100.00% 0.00% 0.00% 0.00% - - 21.342033 0.316368 0.238408 1.315050 2.982531 1.471970 0.722935 0.653036 0.5164 0.6554 0.3056 nan nan
2459979 RF_ok 100.00% 0.00% 0.00% 0.00% - - 23.861946 0.529511 0.268733 1.365561 2.581894 0.948295 -0.448152 -0.096411 0.4511 0.6142 0.3815 nan nan
2459978 RF_ok 100.00% 0.00% 0.00% 0.00% - - 24.048094 0.720723 0.430045 1.671903 2.701431 1.736991 -1.259098 0.160794 0.4469 0.6130 0.3878 nan nan
2459977 RF_ok 100.00% 0.00% 0.00% 0.00% - - 22.432267 0.851364 0.171830 1.292149 3.613748 1.510302 -1.113915 -0.951190 0.4091 0.5723 0.3479 nan nan
2459976 RF_ok 100.00% 0.00% 0.00% 0.00% - - 25.097624 -0.077915 -0.210511 1.109144 2.314188 1.347272 -0.690827 0.389133 0.4597 0.6219 0.3764 nan nan

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 242: 2460017

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
242 N19 RF_ok ee Shape 21.434145 0.518897 21.434145 0.981559 -0.354613 0.656464 1.700943 0.322767 -1.087302

Antenna 242: 2460016

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
242 N19 RF_ok ee Shape 20.917539 1.156334 20.917539 1.425097 -0.077210 0.879535 1.355563 -0.554712 -1.491353

Antenna 242: 2460015

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
242 N19 RF_ok ee Shape 23.439705 0.694843 23.439705 1.038163 -0.394169 0.669252 1.518939 -0.255349 -0.462805

Antenna 242: 2460014

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
242 N19 RF_ok ee Shape 27.176440 27.176440 0.573913 -0.420849 0.807837 2.099195 -0.083137 -0.470959 0.986585

Antenna 242: 2460013

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
242 N19 RF_ok ee Shape 23.001228 23.001228 0.587906 -0.366062 1.149454 1.457290 0.759424 -0.878736 -0.519531

Antenna 242: 2460012

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
242 N19 RF_ok ee Shape 21.943924 21.943924 0.519570 -0.499116 0.964577 1.591744 0.895135 -0.501438 -0.300317

Antenna 242: 2460011

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
242 N19 RF_ok ee Shape 23.432230 23.432230 0.783188 -0.507970 1.433489 3.564755 2.923098 -0.740613 -0.509184

Antenna 242: 2460010

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
242 N19 RF_ok ee Shape 26.390229 26.390229 0.864543 -0.010475 1.332659 2.971012 0.628283 -0.788434 -0.391097

Antenna 242: 2460009

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
242 N19 RF_ok ee Shape 21.799420 21.799420 1.233455 0.232615 1.559759 2.620658 1.932482 -0.976834 -0.899101

Antenna 242: 2460008

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
242 N19 RF_ok ee Shape 26.180313 1.243026 26.180313 1.855514 0.308387 1.578935 2.476532 0.860965 0.441188

Antenna 242: 2460007

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
242 N19 RF_ok ee Shape 22.466329 22.466329 0.259340 -0.356817 0.918641 1.415566 0.620055 -1.060617 -0.265929

Antenna 242: 2459999

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
242 N19 RF_ok nn Shape nan nan nan nan nan nan nan nan nan

Antenna 242: 2459998

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
242 N19 RF_ok ee Shape 20.646187 20.646187 0.423949 -0.227385 0.985028 1.574666 0.830729 -1.211406 -0.051524

Antenna 242: 2459997

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
242 N19 RF_ok ee Shape 20.529523 20.529523 1.032781 0.397181 1.466185 2.611831 1.615181 -1.282062 -1.163361

Antenna 242: 2459996

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
242 N19 RF_ok ee Shape 22.747140 22.747140 0.753150 -0.238064 1.121900 2.150279 0.879043 0.092358 -0.155520

Antenna 242: 2459995

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
242 N19 RF_ok ee Shape 24.607166 24.607166 0.395887 -0.216592 1.141894 2.335318 1.347076 -0.669576 -0.544292

Antenna 242: 2459994

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
242 N19 RF_ok ee Shape 19.616193 19.616193 0.237606 0.091797 1.011892 4.844461 1.100857 12.647280 -0.386418

Antenna 242: 2459993

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
242 N19 RF_ok ee Shape 21.118548 21.118548 1.851494 1.021774 1.671781 4.275021 1.814520 3.164564 -0.246041

Antenna 242: 2459991

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
242 N19 RF_ok ee Shape nan nan nan inf inf nan nan nan nan

Antenna 242: 2459990

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
242 N19 RF_ok ee Shape 23.372127 1.213299 23.372127 1.805536 0.484662 1.921944 2.589354 -0.609386 -1.403997

Antenna 242: 2459989

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
242 N19 RF_ok ee Shape 17.368475 0.454986 17.368475 1.211627 0.694770 0.474771 2.417538 -0.265434 -0.915439

Antenna 242: 2459988

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
242 N19 RF_ok ee Shape 22.156996 1.619309 22.156996 1.890300 0.895368 2.213428 4.599608 -0.218517 3.317864

Antenna 242: 2459987

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
242 N19 RF_ok ee Shape 22.368433 22.368433 0.772192 0.383166 1.423683 1.803183 1.149411 -1.311912 -0.135201

Antenna 242: 2459986

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
242 N19 RF_ok ee Shape 29.196751 0.522043 29.196751 1.322161 -0.074174 1.496255 2.823097 0.977175 0.729708

Antenna 242: 2459985

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
242 N19 RF_ok ee Shape 18.423803 0.506891 18.423803 0.981403 0.253598 0.547721 2.624849 -0.319019 4.515534

Antenna 242: 2459984

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
242 N19 RF_ok ee Shape 23.951829 23.951829 0.105990 -0.135022 0.997401 3.087513 0.284456 -0.736498 -0.829674

Antenna 242: 2459983

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
242 N19 RF_ok ee Shape 24.400782 24.400782 0.862677 0.375485 1.688789 3.191917 1.929649 -0.201202 0.236528

Antenna 242: 2459982

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
242 N19 RF_ok ee Shape 15.978780 15.978780 -0.553180 -0.116567 0.934239 0.246048 -0.296970 -0.105268 -0.169942

Antenna 242: 2459981

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
242 N19 RF_ok ee Shape 23.156257 0.847382 23.156257 2.067266 0.560897 2.333881 3.595873 -0.469175 -0.135869

Antenna 242: 2459980

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
242 N19 RF_ok ee Shape 21.342033 0.316368 21.342033 1.315050 0.238408 1.471970 2.982531 0.653036 0.722935

Antenna 242: 2459979

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
242 N19 RF_ok ee Shape 23.861946 23.861946 0.529511 0.268733 1.365561 2.581894 0.948295 -0.448152 -0.096411

Antenna 242: 2459978

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
242 N19 RF_ok ee Shape 24.048094 0.720723 24.048094 1.671903 0.430045 1.736991 2.701431 0.160794 -1.259098

Antenna 242: 2459977

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
242 N19 RF_ok ee Shape 22.432267 22.432267 0.851364 0.171830 1.292149 3.613748 1.510302 -1.113915 -0.951190

Antenna 242: 2459976

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
242 N19 RF_ok ee Shape 25.097624 -0.077915 25.097624 1.109144 -0.210511 1.347272 2.314188 0.389133 -0.690827
In [ ]: